MoniSa DataOps

Spec sheet

What it does

MoniSa DataOps supports annotation and review planning for multilingual AI data work across text, image, audio, and video.Read 4 Oct 2026 · monisaenterprise.com

Purpose

MoniSa DataOps supports annotation and review planning for multilingual AI data work across text, image, audio, and video.Read 9 Oct 2026 · monisaenterprise.com

Integrations

The opened platform and maker pages describe project-scoped workflows and deliverable specifications but do not name third-party software integrations.Read 4 Oct 2026 · monisaenterprise.com

Security

MoniSa says ISO 27001:2022 practices include project-scoped role-based access, contributor confidentiality agreements, controlled environments for sensitive work, and incident escalation.Read 9 Oct 2026 · monisaenterprise.com

Headquarters

Udaipur, Rajasthan, IndiaRead 28 Sep 2026 · monisaenterprise.com

Founded

2015Read 28 Sep 2026 · monisaenterprise.com

Company

MoniSa Enterprise Pvt Ltd says it was founded in 2015 and is headquartered in Udaipur, Rajasthan, India.Read 4 Oct 2026 · monisaenterprise.com

AI policy

MoniSa says it can use fully human workflows when AI or machine translation is prohibited and that AI-assisted output is reviewed by a person before delivery.Read 9 Oct 2026 · monisaenterprise.com

Audio and speech

Audio pilots can specify diarization, transcription, environment tags, segment review, timestamp rules, and reviewer fit by language.Read 9 Oct 2026 · monisaenterprise.com

Certifications

MoniSa lists ISO 9001:2015 and ISO 27001:2022 certifications, with ISO 17100:2015 applying specifically to translation services.Read 9 Oct 2026 · monisaenterprise.com

Governance

MoniSa says projects agree schema, calibration, reviewer checks, and escalation paths before volume begins.Read 9 Oct 2026 · monisaenterprise.com

Image and computer vision

Image workflows can set object-level checks, sampling depth, and correction rules before scaling a batch.Read 4 Oct 2026 · monisaenterprise.com

Image annotation

Image projects can set object-level checks, sampling depth, and correction rules, with review of missed objects, boundaries, and guideline disagreements.Read 9 Oct 2026 · monisaenterprise.com

Language coverage

MoniSa reports AI data services delivery in 140+ languages and says exact language and reviewer fit should be confirmed for each project.Read 4 Oct 2026 · monisaenterprise.com

Languages

MoniSa reports AI data services projects delivered in 140+ languages and says each new project is checked for exact language and reviewer fit.Read 9 Oct 2026 · monisaenterprise.com

Pricing

Pricing is scoped to project languages, volume, domain, and turnaround, and the site does not list a fixed price.Read 9 Oct 2026 · monisaenterprise.com

Quality review

The trust page says deliverables receive independent review, reviewers align on a shared sample for data and evaluation work, and corrections are logged before delivery.Read 9 Oct 2026 · monisaenterprise.com

Retention

Data retention and closeout requirements are set in writing for each workflow before data transfer.Read 4 Oct 2026 · monisaenterprise.com

Review controls

Projects can define schema rules, reviewer calibration, sampling, disagreement checks, escalation paths, and acceptance evidence before production.Read 4 Oct 2026 · monisaenterprise.com

Specialist network

MoniSa reports 110,000+ verified language specialists, with the count verified in June 2026.Read 4 Oct 2026 · monisaenterprise.com

Support and scoping

A human MoniSa team reviews project briefs and clarifies scope before pricing or production commitments.Read 9 Oct 2026 · monisaenterprise.com

Target buyers

The site identifies AI/ML teams, language-service partners, and media or OTT teams among its intended buyers.Read 9 Oct 2026 · monisaenterprise.com

Text and NER

Text pilots can define label taxonomies, sampling depth, rework and escalation rules, and acceptance criteria before production volume.Read 9 Oct 2026 · monisaenterprise.com

Use cases

The listed service paths include human review of AI outputs, training dataset creation, content tagging and taxonomy, terminology governance, and managed reviewer teams.Read 9 Oct 2026 · monisaenterprise.com

Who it is for

MoniSa says it serves enterprise AI and machine-learning teams, language-service providers needing white-label capacity, and media or OTT platforms.Read 4 Oct 2026 · monisaenterprise.com

Workflow

The platform plans collection, annotation, review, and governance with controls agreed for each task.Read 9 Oct 2026 · monisaenterprise.com

Plans and prices

Every MoniSa DataOps plan and price →

Where Specifiction places it

• AI Data Labeling Tools#17 of 227.4